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Sentinel variant vs lead variant vs top variant vs index variant

Definition

In GWAS and QTL usage, these terms usually refer to the strongest associated variant for a locus-level signal. The difference is mostly wording and emphasis: top variant is informal, lead variant is the common formal term, and sentinel variant / index variant emphasize the representative marker used to index that signal.

How they differ

Top variant Lead variant Sentinel variant Index variant
Typical tone Informal wording in slides, captions, quick summaries. Most common formal wording in GWAS papers and catalogs. Formal wording emphasizing representative/index marker role. Formal workflow/reporting wording in pipelines and catalogs.
Usual statistical meaning Smallest p-value in the region or analysis window. Primary association variant for a signal/locus. Representative variant for the locus signal, often also the smallest p-value in the region. Representative variant chosen to index one signal/locus, often equivalent to lead/sentinel in practice.
What it implies "Best hit" by ranking. "Main reported hit" for that signal. "Tagging/indexing marker" for downstream reporting and follow-up. "Anchor ID per signal" for clumping, annotation, and reporting tables.

Rule of thumb: In most GWAS/QTL papers these terms point to the same statistical variant; the preferred wording changes by author, field, journal style, and analysis pipeline conventions.

Important caveat

The lead/sentinel/top/index variant is not always the causal variant. It can be the strongest statistical proxy because nearby variants are correlated through linkage disequilibrium (LD). Follow-up methods (e.g. fine-mapping, conditional association analysis, and functional assays) are needed to narrow causal candidates.

References

  • Uffelmann E, et al. (2021). Genome-wide association studies. Nat Rev Methods Primers. https://doi.org/10.1038/s43586-021-00056-9
  • Buniello A, et al. (2019). The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. https://doi.org/10.1093/nar/gky1120